Vittorio Rampa

Computer Networks and Communications · 2019

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Networks and Communications — 14 citations into it
• Artificial Intelligence — 13 citations into it
• Optimization & Training — 8 citations into it

Whom Vittorio Rampa trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. L. Eon Bottou
2. Diederik P. Kingma
3. Ilya Sutskever
4. Jianshu Chen
5. Ali H. Sayed
6. H. Brendan McMahan
7. Jakub Konecný
8. Geoffrey E. Hinton
9. Mohammad Mohammadi Amiri
10. Jimmy Ba

Papers from Vittorio Rampa's perspective

Ordered by how strongly the researchers Vittorio Rampa trusts endorse each paper. Same corpus, a different order for every researcher.

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Learning Multiple Layers of Features from Tiny Images
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Federated Learning With Cooperating Devices: A Consensus Approach for Massive IoT Networks (2019) — 368 citations